3 дня назад
Lead Data Engineer (Sr. Palantir Engineer)
150 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineer (Sr. Palantir Engineer) (Palantir Foundry/PySpark): Architecting and optimizing scalable data pipelines and ontology-driven applications with an accent on data architecture, platform engineering, and semantic modeling. Focus on building high-performance ETL/ELT workflows, integrating Foundry applications, troubleshooting complex data issues, and improving platform cost efficiency.
Location: Chicago, IL, United States
Salary: $150,000–$180,000 per year
Company
operates in partnership with Capgemini, a global business and technology transformation provider delivering cloud, data, AI, and engineering services.
What you will do
- Design, build, and maintain end-to-end ETL/ELT pipelines using PySpark, Spark SQL, and Python.
- Architect scalable data frameworks for analytics and operational workflows while maintaining data quality and consistency.
- Configure Foundry Data Connections, Pipeline Builder, Contour, Code Repositories, and ontology objects.
- Develop ontology-driven applications with Workshop and Quiver, ensuring consistent data flow from ingestion through ontology.
- Collaborate with data scientists, analysts, domain experts, business stakeholders, and senior leadership to translate requirements into data solutions.
- Lead troubleshooting, performance tuning, cost monitoring, platform stability, and continuous workflow improvement.
Requirements
- 8+ years of experience in data engineering or related roles.
- Strong proficiency in PySpark, Spark SQL, and Python.
- Deep hands-on experience with Palantir Foundry, including Data Connections, Pipeline Builder, Contour, Code Repositories, Ontology Management, Workshop, and Quiver.
- Solid understanding of data modeling, data governance, access control, performance optimization, and complex data troubleshooting.
- Strong communication and collaboration skills, with the ability to mentor junior engineers and analysts.
Nice to have
- Experience with cloud platforms such as Azure.
- Experience with Snowflake and its integration with Foundry.
- Exposure to Generative AI and its application in data workflows.
- Knowledge of data security, compliance, and metadata management.
Culture & Benefits
- Collaborative environment with colleagues across the world.
- Comprehensive benefits package for regular full-time employees.
- Paid vacation, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage.
- Retirement savings plans, life and disability insurance, and employee assistance programs.
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